FlowerClassifier

A flower classifier that uses deep neural networks to classify 5 different types of flower - daisy, dandelion, roses, sunflowers and tulips. The classifier uses a convolutional deep neural network which is based on Google's Inception model. Only the bottlenecks were modified in the process. In order to run this program your machine must have docker installed. The library used is the popular machine learning library TensorFlow. A series of docker commands are also included which need to be run prior to the program.